Evidence map›Paper›PMID 40599045›Full record

ArticleJournal of cosmetic dermatology2025

Considerations for the Treatment Strategy of Relapse After Tofacitinib Therapy in Alopecia Areata.

Longyan Yao, Jiumei He, Na Lan, Yongmei Lv

Abstract readCase Reports
In one paragraph

Article in Journal of cosmetic dermatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Longyan YaoThe Second Affiliated Hospital of Anhui Medical University, Hefei, China.
Jiumei HeThe Second Affiliated Hospital of Anhui Medical University, Hefei, China.
Na LanThe Second Affiliated Hospital of Anhui Medical University, Hefei, China.
Yongmei LvThe Second Affiliated Hospital of Anhui Medical University, Hefei, China.ORCID https://orcid.org/0000-0003-1139-559X

Funding

Clinical Research Cultivation Program 2020LCYB12Research Fund of Anhui Institute of Translational Medicine 2021zhyx-C60
6 · The paper itself

Abstract

backgroundAlopecia areata (AA) is an autoimmune disorder mediated by T cells, resulting in hair loss on the scalp, eyebrows, and body. Conventional treatments for AA often exhibit high recurrence rates and various side effects. Recently, Janus kinase (JAK) inhibitors have emerged as promising therapeutic options for managing AA and several other autoimmune disorders. CASE PRESENTATION: We present the case of a 26-year-old patient who initially responded well to Tofacitinib but subsequently experienced relapses during the treatment period. Corticosteroid therapy was effective in managing these relapses, leading to a transition to Ritlecitinib when Tofacitinib monotherapy became unsustainable. DISCUSSION: In cases where monotherapy proves ineffective, alternative strategies such as combination therapy, dose optimization, or switching to different therapeutic agents should be considered. While the JAK-STAT signaling pathway plays a pivotal role in the pathogenesis of AA, it is likely that additional mechanisms also contribute to its development.

conclusionWe present a case report documenting secondary failure of tofacitinib in the treatment of AA. This case highlights potential insights into the pathogenesis of AA and may inform the development of future therapeutic strategies.

Indexed as

Alopecia AreataJanus Kinase InhibitorsPiperidinesProtein Kinase InhibitorsPyrimidinesPyrrolesAdultHumansRecurrenceTreatment FailureJanus Kinase InhibitorsPiperidinesProtein Kinase InhibitorsPyrimidinesPyrrolestofacitinibalopecia areataJAK inhibitortherapytofacitinib

Identifiers

PMID40599045
PMCPMC12215230

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.